Visible to the public Biblio

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2022-03-10
Qin, Shuangling, Xu, Chaozhi, Zhang, Fang, Jiang, Tao, Ge, Wei, Li, Jihong.  2021.  Research on Application of Chinese Natural Language Processing in Constructing Knowledge Graph of Chronic Diseases. 2021 International Conference on Communications, Information System and Computer Engineering (CISCE). :271—274.
Knowledge Graph can describe the concepts in the objective world and the relationships between these concepts in a structured way, and identify, discover and infer the relationships between things and concepts. It has been developed in the field of medical and health care. In this paper, the method of natural language processing has been used to build chronic disease knowledge graph, such as named entity recognition, relationship extraction. This method is beneficial to forecast analysis of chronic disease, network monitoring, basic education, etc. The research of this paper can greatly help medical experts in the treatment of chronic disease treatment, and assist primary clinicians with making more scientific decision, and can help Patients with chronic diseases to improve medical efficiency. In the end, it also has practical significance for clinical scientific research of chronic disease.
2022-03-08
Huang, Keman, Madnick, Stuart, Choucri, Nazli, Zhang, Fang.  2021.  A Systematic Framework to Understand Transnational Governance for Cybersecurity Risks from Digital Trade. Global Policy. 12:625–638.
Governing cybersecurity risks from digital trade is a growing responsibility for governments and corporations. This study develops a systematic framework to delineate and analyze the strategies that governments and corporations take to address cybersecurity risks from digital trade. It maps out the current landscape based on a collection of 75 cases where governments and corporations interact to govern transnational cybersecurity risks. This study reveals that: first, governing cybersecurity risks from digital trade is a global issue whereby most governments implement policies with concerning that the cybersecurity risks embedded within purchasing transnational digital products can influence their domestic political and societal systems. Second, governments dominates the governance interactions by implementing trade policies whereas corporations simply comply. Corporations do, however, have chances to take more active roles in constructing the governance system. Third, supply chain cybersecurity risks have more significant impacts on governance mode between governments and corporations whereas concerns on different national cybersecurity risks do not. Fourth, the interactions between governments and corporations reveal the existence of loops that can amplify or reduce cybersecurity risks. This provides policy implications on transnational cybersecurity governance for policy makers and business leaders to consider their potential options and understand the global digital trade environment when cybersecurity and digital trade overlap.